'Resource description framework' presentation slideshows

METADATA as we know it: MARC in context

METADATA as we know it: MARC in context. An overview Prepared by: Eva Bolkovac As part of a staff training initiative for the JDC/STOD/Cataloging Subcommittee June 2006. JDC/STOD/Cataloging Subcommittee:. Chair: Marena Fisher Core members since October 2005: Kathryn Trotti

1.53k views • 113 slides

METADATA as we know it: MARC in context

METADATA as we know it: MARC in context. An overview Prepared by: Eva Bolkovac As part of a staff training initiative for the JDC/STOD/Cataloging Subcommittee June 2006. JDC/STOD/Cataloging Subcommittee:. Chair: Marena Fisher Core members since October 2005: Kathryn Trotti

1.29k views • 113 slides

CS 4700: Foundations of Artificial Intelligence

CS 4700: Foundations of Artificial Intelligence. Bart Selman selman@cs.cornell.edu Module: Knowledge, Reasoning, and Planning Part 1 Logical Agents R&N: Chapter 7. A Model-Based Agent. Requires: Knowledge and Reasoning. Knowledge and Reasoning . Knowledge and Reasoning:

1.15k views • 91 slides

Knowledge Discovery over the Deep Web, Semantic Web and XML

Knowledge Discovery over the Deep Web, Semantic Web and XML. Aparna S. Varde , Fabian M. Suchanek , Richi Nayak and Pierre Senellart DASFAA 2009, Brisbane, Australia. Introduction. The Web is a vast source of information Various developments in the Web Deep Web Semantic Web

1.31k views • 89 slides

Web Services Overview

893 views • 68 slides

Semantic Web Technologies

697 views • 53 slides

QUASAR query language and system

625 views • 46 slides

Michali s Vafopoulos NTUA & www.publicspending.net www.vafopoulos.org

578 views • 45 slides

Information Infrastructures

536 views • 36 slides

Semantic Web & Cased Based Reasoning AIST Meeting JPL, CA 2003

Semantic Web & Cased Based Reasoning AIST Meeting JPL, CA 2003. Mehmet S. Aktas maktas@cs.indiana.edu. Outline. Semantic Web Overview Semantic Web Motivations Ontology Languages Semantic Web and Cased Based Reasoning Cased Based Reasoning Overview

600 views • 33 slides

Parallel and Distributed Intelligent Systems Virendrakumar C. Bhavsar Professor and Director, Advanced Computational Res

Parallel and Distributed Intelligent Systems Virendrakumar C. Bhavsar Professor and Director, Advanced Computational Research Laboratory Faculty of Computer Science University of New Brunswick Fredericton, NB bhavsar@unb.ca www.cs.unb.ca/profs/bhavsar www.cs.unb.ca/acrl Outline

608 views • 27 slides

RDA and the semantic Web

498 views • 27 slides

S emantic Web

S emantic Web. By Ahmet Can Babao ? lu Abdurrahman Be ? inci. Semantic Web Example. Suppose you want to buy a Star wars DVD having such properties; wide-screen ( not full-screen ) the extra disc of bonus materials lowest available price not paying too much for shipping and handling

404 views • 24 slides

Context Congregator: Gathering Contextual Information in CAPP

Context Congregator: Gathering Contextual Information in CAPP. Umar Mahmud, Naima Iltaf Military College of Signals Farrukh Kamran Center for Advanced Studies in Engineering, Islamabad, Pakistan. Introduction.

333 views • 21 slides

Module 2b: Modeling Information Objects and Relationships

Module 2b: Modeling Information Objects and Relationships. IMT530: Organization of Information Resources Winter, 2008 Michael Crandall. Recap. Information storage and retrieval systems (ISARs) are part of a larger knowledge system

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S ynthetic B iology O pen L anguage

S ynthetic B iology O pen L anguage. By ? ? ? ???. Outline . Definition and overview. Background knowledge. Core model in SBOL. Examples. Other issues to mention. Part1 Definition and overview. What is SBOlanguage. English?. Similar, but not really.

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UNIMARC and linked data

UNIMARC and linked data. Gordon Dunsire and Mirna Willer Presented at Session 187 (Advancing UNIMARC: alignment and innovation) of the World Library and Information Congress : 77th IFLA General Conference and Assembly, 13-18 August 2011, San Juan, Puerto Rico . Overview. Background

415 views • 17 slides

A Semantic-Web Representation of Clinical Element Models

A Semantic-Web Representation of Clinical Element Models. Cui Tao, PhD Mayo Clinic. Acknowledgement. Christopher G. Chute, MD, DrPH Robert R. Freimuth , PhD Stanley M. Huff, MD Guoqian Jiang, PhD Thomas A. Oniki , PhD Jyotishman Pathak , PhD Craig Parker, MD Deepak Sharma

325 views • 17 slides

Business Modelling for Internet Based Technology Lecture 2 - Self Study on Evolution of the Internet

Business Modelling for Internet Based Technology Lecture 2 - Self Study on Evolution of the Internet This lecture is for you to work through at your own pace and level. Take note of the key points made and depending upon your existing knowledge - have a look at the supporting materials.

492 views • 12 slides

ICS 624 Spring 2011 Graph Data & RDF

ICS 624 Spring 2011 Graph Data & RDF. Asst. Prof. Lipyeow Lim Information & Computer Science Department University of Hawaii at Manoa. Resource Description Framework (RDF). RDF Graph Data Model. Edges represent relationships or properties. Nodes can also represent an entity.

204 views • 10 slides